Why the study?
Rate control drugs in AF are mainly chosen empirically, and characterization of individual AV-nodal conduction could assist in personalized treatment selection.
Do beta-blockers and calcium channel blockers have different effects on circadian variation in AV-nodal conduction properties in patients with permanent AF?
Do beta-blockers and calcium channel blockers have different effects on circadian variation in AV-nodal conduction properties in patients with permanent AF?
Beta-blockers and calcium channel blockers exhibit quantifiable differences in their effects on AV-nodal conduction and circadian variation, which could assist in personalized rate control selection for permanent AF.
May enable personalized rate-control selection in permanent AF via ambulatory ECG; leaves open whether this improves outcomes over empirical therapy.
The heart rate during atrial fibrillation (AF) is highly dependent on the conduction properties of the atrioventricular (AV) node. These properties can be affected using β -blockers or calcium channel blockers, mainly chosen empirically. Characterization of individual AV-nodal conduction could assist in personalized treatment selection during AF. Individual AV nodal refractory periods and conduction delays were characterized based on 24-hour ambulatory ECGs from 60 patients with permanent AF. This was done by estimating model parameters from a previously created mathematical network model of the AV node using a problem-specific genetic algorithm. Based on the estimated model parameters, the circadian variation and its drug-dependent difference between treatment with two β -blockers and two calcium channel blockers were quantified on a population level by means of cosinor analysis using a linear mixed-effect approach. The mixed-effects analysis indicated increased refractoriness relative to baseline for all drugs. An additional decrease in circadian variation for parameters representing conduction delay was observed for the β -blockers. This indicates that the two drug types have quantifiable differences in their effects on AV-nodal conduction properties. These differences could be important in treatment outcome, and thus quantifying them could assist in treatment selection.
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Karlsson et al. (2022) studied this question.
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